Cover Image

Regularized Principal Spline Functions to Mitigate Spatial Confounding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zaccardi, Carlo, Valentini, Pasquale, Ippoliti, Luigi, Schmidt, Alexandra M.
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the PM2.5 -- Mortality Association: A Bayesian Model for Spatio-Temporal Confounding
by: Zaccardi, Carlo, et al.
Published: (2024)

Functional zoning of biodiversity profiles
by: Golini, Natalia, et al.
Published: (2023)

Demystifying Spatial Confounding
by: Dupont, Emiko, et al.
Published: (2023)

An Instrumental Variables Framework to Unite Spatial Confounding Methods
by: Woodward, Sophie M., et al.
Published: (2024)

Re-thinking Spatial Confounding in Spatial Linear Mixed Models
by: Khan, Kori, et al.
Published: (2023)

Spatial Confounding in Multivariate Areal Data Analysis
by: Wu, Kyle Lin, et al.
Published: (2025)

SpaCE: The Spatial Confounding Environment
by: Tec, Mauricio, et al.
Published: (2023)

Spatial Principal Component Analysis and Moran Statistics for Multivariate Functional Areal Data
by: Pathmanathan, Dharini, et al.
Published: (2024)

Two-stage Estimators for Spatial Confounding with Point-Referenced Data
by: Wiecha, Nate, et al.
Published: (2024)

Spatial Confounding: A review of concepts, challenges, and current approaches
by: Pim, Isaque Vieira Machado, et al.
Published: (2026)

Spline Quantile Regression with Cubic and Linear Smoothing Splines
by: Li, Ta-Hsin
Published: (2026)

A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes
by: Prim, Shih-Ni, et al.
Published: (2025)

MML Probabilistic Principal Component Analysis
by: Makalic, Enes, et al.
Published: (2022)

Beyond Regularization: Inherently Sparse Principal Component Analysis
by: Bauer, Jan O.
Published: (2025)

Robust Spatial Confounding Adjustment via Basis Voting
by: Burman, Anik, et al.
Published: (2025)

Semi-Implicit Approaches for Large-Scale Bayesian Spatial Interpolation
by: Garneau, Sébastien, et al.
Published: (2025)

Generalized Conditional Functional Principal Component Analysis
by: Lu, Yu, et al.
Published: (2024)

Universal Modelling of Autocovariance Functions via Spline Kernels
by: Astfalck, Lachlan
Published: (2025)

Penalized Spline M-Estimators for Discretely Sampled Functional Data: Existence and Asymptotics
by: Kalogridis, Ioannis
Published: (2025)

EM Estimation of the B-Spline Copula with Penalized Pseudo-Likelihood Functions
by: Dou, Xiaoling, et al.
Published: (2024)

Spatial Heterogeneous Additive Partial Linear Model: A Joint Approach of Bivariate Spline and Forest Lasso
by: Zhang, Xin, et al.
Published: (2024)

Variable Domain Multivariate Functional Principal Component Analysis
by: Amaro, Pavel Hernández, et al.
Published: (2026)

Addressing Confounding and Continuous Exposure Measurement Error Using Corrected Score Functions
by: Richardson, Brian D., et al.
Published: (2024)

Spline Quantile Regression
by: Li, Ta-Hsin, et al.
Published: (2025)

Fast Bayesian Functional Principal Components Analysis
by: Sartini, Joseph, et al.
Published: (2024)

Robust Bayesian Functional Principal Component Analysis
by: Zhang, Jiarui, et al.
Published: (2023)

Nonlinear Causal Discovery with Confounders
by: Li, Chunlin, et al.
Published: (2023)

Spatial Sign based Principal Component Analysis for High Dimensional Data
by: Zhao, Ping, et al.
Published: (2024)

MuPlon: Multi-Path Causal Optimization for Claim Verification through Controlling Confounding
by: Guo, Hanghui, et al.
Published: (2025)

Functional Principal Component Analysis for Sparse Censored Data
by: Murphy, Caitrin, et al.
Published: (2024)

Functional Principal Component Analysis for Distribution-Valued Processes
by: Zhou, Hang, et al.
Published: (2023)

Bayesian Multivariate Sparse Functional Principal Components Analysis
by: Sartini, Joseph, et al.
Published: (2025)

Identifiability of Treatment Effects with Unobserved Spatially Varying Confounders
by: Tang, Tommy, et al.
Published: (2026)

Estimation of Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)

Quantile-Crossing Spectrum and Spline Autoregression Estimation
by: Li, Ta-Hsin
Published: (2024)

Spline Autoregression Method for Estimation of Quantile Spectrum
by: Li, Ta-Hsin
Published: (2024)

Penalty-Induced Basis Exploration for Bayesian Splines
by: Lim, Sunwoo, et al.
Published: (2023)

Graphical Principal Component Analysis of Multivariate Functional Time Series
by: Tan, Jianbin, et al.
Published: (2024)

Localized Functional Principal Component Analysis Based on Covariance Structure
by: Battagliola, Maria Laura, et al.
Published: (2025)

Estimation of Multivariate Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)